Cable joint fireproof alarm system and method based on enclosed space

Abstract

The invention discloses a cable joint fireproof alarm system and method based on an enclosed space, and relates to the technical field of cable fireproof monitoring, and the system carries out the targeted optimization of a detector according to the accuracy, stability and reaction capability of the detector under the environment type of the enclosed space, and improves the reliability of the cable joint. Then early-stage fireproof monitoring and prevention are carried out on all cable joints in the closed space, and partition optimization is carried out on the closed space according to the fireproof alarm condition in the closed space, so that intelligent and automatic monitoring and management of the cable joints in the closed space are realized; the monitoring effect of the cable joint and the accuracy and timeliness of fireproof alarm are ensured, the fire loss in the closed space is reduced, the closed space is optimized, the influence of high-risk equipment on low-risk equipment in the closed space with poor heat dissipation conditions can be reduced, the loss and replacement frequency of the equipment are reduced, and the service life of the equipment is prolonged. And the electrical operation and maintenance cost in the closed space is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of cable fire prevention monitoring, and particularly relates to a cable joint fire prevention alarm system and method based on a closed space. Background Art

[0002] The ventilation conditions in a closed space are poor, making the temperature and humidity in the space relatively stable, less affected by external climate changes. At the same time, it also makes the cables in the closed space more vulnerable to the stable environment, resulting in abnormal heat dissipation of the cables and increasing the risk of cable fires. Conducting fire prevention monitoring and fire alarm for the cable joints in the closed space can ensure the electrical safety in the closed space and reduce the fire risk.

[0003] The prior art such as the substation disconnector fault monitoring system disclosed in the patent application with the publication number CN118937987A includes a data acquisition module, an environmental interference detection module, a data fusion module, a fault prediction module, and a dynamic threshold adjustment module; the data acquisition module collects the operating parameters of the substation disconnector through multiple redundant sensors, including current, voltage, temperature, and vibration signals, and transmits the collected data to the data processing unit in real time. In the present invention, through the collaborative work of the data acquisition module, the environmental interference detection module, and the data fusion module, advanced noise filtering and wavelet transform technologies are used to accurately filter out interference signals and ensure the accuracy of the data. The Kalman filter is used to fuse multi-sensor data to reduce the risk of false fault judgments, and the fault prediction module and the dynamic threshold adjustment module are introduced. Through machine learning algorithms, faults are predicted and the threshold is dynamically adjusted to ensure the stable operation of the system in a complex environment and reduce the power outage risk.

[0004] The prior art such as the fire early warning system based on electrical informatization disclosed in the patent application with the publication number CN118587833A includes an electrical behavior analysis module, an abnormal behavior recognition module, an environmental factor analysis module, a comprehensive judgment and early warning module, and a feedback control module; among them, the electrical behavior analysis module is used to collect the parameters of electrical equipment; the abnormal behavior recognition module analyzes whether the behavior of electrical equipment deviates from the normal mode; the environmental factor analysis module analyzes the impact of environmental factors on electrical safety; the comprehensive judgment and early warning module makes a comprehensive judgment to determine whether there is a fire risk; the feedback optimization module provides feedback information to the electrical behavior analysis module for optimization. In the present invention, through intelligent analysis and adaptive learning, the early identification and accurate early warning of electrical fire risks are effectively realized, and at the same time, the false alarm rate is significantly reduced, providing a long-term effective electrical safety management solution.

[0005] The above - mentioned solution has at least the following deficiencies: 1. The environment of the enclosed space is complex and special, and it is difficult for people to enter and exit the enclosed space. Therefore, a relatively stable and fast - reacting detector is required to monitor the cable joints in the enclosed space. However, the number of detectors required in the enclosed space is small, and it is impossible to directly purchase detectors that meet the requirements of the enclosed space. Therefore, it is necessary to optimize the detector according to the environmental characteristics of the enclosed space to make the detector more adaptable to the environment, increasing the accuracy and efficiency of monitoring. However, in the above - mentioned solution, only the process of processing the detection data of the sensor is optimized, and the detector itself is not optimized according to the environmental impact on the detector itself, so it is impossible to reduce the environmental impact on the detector, thus unable to ensure the stability of the detection and the transmission efficiency of the enclosed - space detector, reducing the response speed of the cable - joint fire alarm, and increasing the risk of fire in the enclosed space.

[0006] 2. Reasonable fire - prevention area division and fire - prevention measures in the enclosed space can reduce the losses during a fire. However, in the above - mentioned solution, only the early stage of the fire is monitored, and there is a lack of space planning for the enclosed space based on long - term alarm records, so it is impossible to reduce the losses during a fire. At the same time, it is also impossible to reduce the impact of high - risk equipment on low - risk equipment, increasing the loss of all equipment in the enclosed space and raising the cost of electrical operation and maintenance in the enclosed space. Summary of the Invention

[0007] Aiming at the above - mentioned existing technical deficiencies, the purpose of the present invention is to provide a cable - joint fire - prevention alarm system and method based on an enclosed space.

[0008] To solve the above - mentioned technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a cable - joint fire - prevention alarm system based on an enclosed space, including: a cable monitoring unit, a fire - prevention alarm unit, and a space optimization unit.

[0009] The cable monitoring unit is used to collect the environmental data of the enclosed space, optimize the detector, and monitor multiple cable joints in the enclosed space to obtain the monitoring data of each cable joint.

[0010] The fire - prevention alarm unit is used to judge whether there is a fire risk in the cable joint according to the monitoring data of each cable joint, and if so, give an alarm.

[0011] The space optimization unit is used to obtain the historical fire - prevention alarm records of the cable joints within a preset period, evaluate whether the enclosed space needs to be optimized, and if so, set the optimization plan for the enclosed space.

[0012] Second aspect, the present invention provides a fire prevention alarm method for cable joints based on a closed space, including S1, cable monitoring: collecting environmental data of the closed space, optimizing the detector, and monitoring multiple cable joints in the closed space to obtain the monitoring data of each cable joint.

[0013] S2, fire prevention alarm: According to the monitoring data of each cable joint, determine whether there is a risk of fire in the cable joint. If so, give an alarm.

[0014] S3, space optimization: Obtain the historical fire prevention alarm records of the cable joints within a preset period, evaluate whether the closed space needs to be optimized. If so, set the optimization plan for the closed space.

[0015] The beneficial effects of the present invention are as follows: The present application provides a fire prevention alarm system and method for cable joints based on a closed space. According to the accuracy, stability, and response ability of the detector under the environmental type of the closed space, the detector is optimized specifically. Then, early fire prevention monitoring and prevention are carried out on all cable joints in the closed space. And according to the fire prevention alarm situation in the closed space, the closed space is optimized by zoning, realizing intelligent and automatic monitoring and management of the cable joints in the closed space, ensuring the monitoring effect of the cable joints and the accuracy and timeliness of the fire prevention alarm, reducing the fire loss in the closed space. At the same time, optimizing the closed space can reduce the impact of high-risk equipment on low-risk equipment in a closed space with poor heat dissipation conditions, reducing the loss and replacement frequency of equipment, and reducing the cost of electrical operation and maintenance in the closed space. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0017] Figure 1 It is a schematic diagram of the system structure connection of the present invention.

[0018] Figure 2 It is a schematic diagram of the implementation steps flow of the method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0020] Embodiment 1:

[0021] Referring to Figure 1 As shown, a fire prevention and alarm system for cable joints based on a closed space, including a cable monitoring unit, a fire prevention and alarm unit, and a space optimization unit.

[0022] The cable monitoring unit is used to collect environmental data of the closed space, optimize the detector, and monitor multiple cable joints in the closed space to obtain the monitoring data of each cable joint.

[0023] In a specific embodiment, the cable monitoring unit includes an environmental testing module and a data monitoring module; the environmental testing module is used to collect environmental data of the closed space, obtain the environmental type of the closed space, and then, based on the environmental type of the closed space, conduct environmental testing on the detector, optimize the detector, and perform corresponding optimizations.

[0024] Specifically, the process of the environmental testing module is as follows: S11-1. Use environmental detection equipment to collect environmental data of the closed space, compare the environmental data of the closed space with the reference environmental data intervals corresponding to each environmental type in the data center, and obtain the environmental type of the closed space.

[0025] Among them, the environmental detection equipment includes a temperature sensor, a humidity sensor, a gas sensor, a dust concentration sensor, an electromagnetic interference detector, etc., and the environmental data includes temperature, humidity, corrosive gas concentration, dust concentration, electromagnetic interference frequency, etc.

[0026] Each environmental type is set by electrical management personnel according to monitoring requirements. The environmental types include high-temperature type, high-temperature and high-humidity type, high-temperature and strong electromagnetic interference type, etc. The reference environmental data intervals corresponding to each environmental type represent the required environmental data intervals corresponding to each environmental type, which are set by electrical management personnel according to monitoring requirements. Taking the high-temperature type as an example, the set reference temperature interval for the high-temperature type can be 25°C and above, or 30°C and above. Specific numerical limitations are not provided here.

[0027] When the environmental data of the closed space is within the reference environmental data interval corresponding to a certain environmental type in the data center, then this environmental type is the environmental type of the closed space.

[0028] S11-2. Set up a control group and a test group. Both the control group and the test group are enclosed spaces. The environmental type in the control group is a conventional environment, and the environmental type in the test group is the environmental type of the enclosed space. Heating devices and detectors are placed in both the control group and the test group. The heating devices in the control group and the test group are controlled to have the same temperature. Then, the detectors in the control group and the test group are used to simultaneously collect the monitored temperatures of the heating devices multiple times, and the detectors transmit the monitored temperatures of the heating devices in the control group and the test group to the receiving terminal.

[0029] It should be noted that the conventional environment is the optimal operating environment for the detector, which can be obtained from the detector's instruction manual and set by the detector manufacturer. The detector is a heat-sensing fire detector.

[0030] S11-3. The receiving terminal records the receiving time points of the monitored temperatures of the heating devices in the control group and the test group, and analyzes the accuracy level, stability level, and response ability level of the detectors in the test group by using the monitored temperatures of the heating devices in the control group and the test group and the receiving time points.

[0031] Preferably, the analysis process of the accuracy level, stability level, and response ability level of the detectors in the test group is as follows: Denote the monitored temperatures of the heating devices in the control group and the test group as T1 y and T2 y respectively. y is the number of the monitored temperatures, y is a positive integer, and the numbers of the monitored temperatures are numbered in sequence according to the order of their monitoring. The accuracy level of the detectors in the test group: In the formula, r1 is the accuracy level of the detectors in the test group, R1 is the maximum value of the accuracy level, r1 ∈ [1, R1], r and R are both positive integers, Y represents the number of monitored temperatures, τ1, τ r1-1 , τ r1 , τ R1-1 are respectively the lower limit values of the difference rates for the preset accuracy level 1, the lower limit values of the difference rates for the accuracy level r1 - 1, the lower limit values of the difference rates for the accuracy level r1, and the lower limit values of the difference rates for the accuracy level R1 - 1.

[0032] It should be noted that the higher the accuracy level, the higher the accuracy, and the smaller the difference rate, the higher the accuracy. Therefore, the smaller the difference rate, the higher the accuracy level. The lower limit values of the difference rates corresponding to each accuracy level are set by the electrical management personnel according to the monitoring requirements. Assume that the accuracy level includes three levels. The lower limit value of the difference rate for level 1 can be set to 0.2, the lower limit value of the difference rate for level 2 can be set to 0.15, and the lower limit value of the difference rate for level 3 can be set to 0.10. The specific accuracy level and its lower limit value of the difference rate can be adjusted according to the requirements and are not restricted here.

[0033] The analysis process for the stability level of the detectors in the test group is as follows: Using the calculation formula: obtain the volatility κ of the y-th monitored temperature of the detectors in the test group y , where T1 y-1 and T2 y-1 respectively represent the (y - 1)-th monitored temperature of the heating devices in the control group and the test group; select the maximum volatility and the minimum volatility from the volatilities of the monitored temperatures of the detectors in the test group, and calculate the difference between the maximum volatility and the minimum volatility as the volatility difference of the detectors, denoted as Δκ. Then, compare the volatility difference with the volatility intervals corresponding to the preset stability levels. When the volatility difference is within the volatility interval corresponding to a certain stability level, then this stability level is the stability level of the detectors in the test group.

[0034] Among them, the setting process of the volatility intervals corresponding to the stability levels is the same as the setting process of the lower limit values of the difference rates corresponding to the accuracy levels, and will not be elaborated here.

[0035] The analysis process for the response ability level of the detectors in the test group is as follows: Calculate the difference between the reception time points of the monitored temperatures of the heating devices in the control group and the test group, and then calculate the average value to obtain the average reception delay duration. Compare the average reception delay duration with the reception delay duration intervals corresponding to the response ability levels. When the average reception delay duration is within the reception delay duration interval corresponding to a certain response ability level, then this response ability level is the response ability level of the detectors in the test group.

[0036] Among them, the setting process of the reception delay duration intervals corresponding to the response ability levels is the same as the setting process of the lower limit values of the difference rates corresponding to the accuracy levels, and will not be elaborated here.

[0037] S11-4. Obtain the accuracy level, stability level, response ability level, optimization plan, and optimization parameters of each historical detector used in each enclosed space from the data center, and set up an optimization improvement table for the detectors.

[0038] Preferably, use the numerical combination of the accuracy level, stability level, and response ability level as the number of the performance impact type. For example: The accuracy level, stability level, and response ability level of the detectors in the test group are 3, 5, and 4 respectively, and the number of the performance impact type of the detectors in the test group is 354. Based on this, obtain the numbers of the performance impact types of each historical detector used in each enclosed space, count each historical detector in each performance impact type, and obtain the optimization plan and optimization parameters of each historical detector in each performance impact type, and calculate the optimization scores of each performance impact type using each optimization plan.

[0039] Among the above, the optimization plan includes physical optimization and algorithm optimization. The content of physical optimization includes adding 1 heat sink, adding 2 heat sinks, adding 1 metal shield, etc., and the content of physical optimization is numbered in sequence as A1, A2, A3, etc. The content of algorithm optimization includes adding mean filtering algorithm, adding median filtering algorithm, adding Kalman filtering algorithm, adding adaptive algorithm, etc., and the content of algorithm optimization is numbered in sequence as B1, B2, B3, etc. Then the optimization plan is the combination of the numbers of the physical optimization content and the numbers of the algorithm optimization content. Suppose the physical optimization in the optimization plan includes adding 2 heat sinks and adding 1 metal shield in physical optimization, and the content of algorithm optimization is adding median filtering algorithm, then the number of the optimization plan is A2,3 - B2.

[0040] Extract the numbers of the optimization plans of each historical detector in each performance impact type, combine the historical detectors with the same optimization plan numbers, and obtain each historical detector using each optimization plan in each performance impact type. Then, obtain the optimized accuracy level, stability level, and response ability level from the optimization parameters of each historical detector using each optimization plan in each performance impact type. The calculation formula for the optimization score is: In the formula, M xf represents the optimization score of the x-th performance impact type using the f-th optimization plan. x represents the number of the performance impact type, x = {111, 112,....., nnn}, n represents a positive integer, f represents the number of the optimization plan, x = {A1 - B1, A1,2 - B1,2,....., An,n′ - Bn,n′,......}, n′ represents a positive integer, and n′ is not equal to n. respectively represent the accuracy optimization score, stability optimization score, and response ability optimization score of the x-th performance impact type using the f-th optimization plan. ω1, ω2, and ω3 are the weight factors of the accuracy optimization score, stability optimization score, and response ability optimization score, respectively.

[0041] Among them, The scoring rule of is: St1. Multiply the maximum value of the accuracy level by 0.6, and the result is used as the accuracy passing level.

[0042] St2. On the premise that the accuracy level is less than the accuracy passing level, if the optimized accuracy level is less than the accuracy passing level, the accuracy optimization score is 0; if the optimized accuracy level is greater than or equal to the accuracy passing level, the accuracy optimization score is 60 + 20×(the optimized accuracy level - the accuracy passing level).

[0043] Under the premise that the accuracy level is greater than or equal to the passing accuracy level, if the optimized accuracy level is less than or equal to the accuracy level, the accuracy optimization score is 0. If the optimized accuracy level is greater than the accuracy level, the accuracy optimization score is 10×(optimized accuracy level - accuracy level).

[0044] The scoring rules for the stability optimization score and the response ability optimization score are the same as those of St1 - St3, which will not be elaborated here. Based on this, the accuracy optimization scores, stability optimization scores, and response ability optimization scores of each historical detector in the f-th optimization plan for the x-th performance impact type are obtained, and then the mean value is calculated to obtain and

[0045] The setting process of ω1, ω2, ω3: If the accuracy level, stability level, and response ability level are all less than, equal to, or greater than the passing accuracy level, passing stability level, and passing response ability level, then ω1, ω2, ω3 are all 1 / 3. If only one of the accuracy level, stability level, and response ability level is greater than or equal to its passing level, the weight factor of the optimization score greater than its passing level is set to 0.2, and the rest are 0.4. If only one of the accuracy level, stability level, and response ability level is less than its passing level, the weight factor of the optimization score less than its passing level is set to 0.6, and the rest are 0.2.

[0046] According to the optimization scores of each performance impact type using each optimization plan, set the optimization improvement table of the detector.

[0047] Taking the number 354 of the performance impact type of the detector in the test group as an example, the optimization improvement table of the detector is as follows:

[0048] Optimization improvement table of the detector

[0049]

[0050] S11 - 5. Based on the accuracy level, stability level, and response ability level of the detector in the test group, obtain the optimization plan of the detector from the optimization improvement table of the detector, and perform corresponding optimization.

[0051] Select the optimization plan with the largest optimization score among the numbers of the performance impact type of the detector in the test group from the optimization improvement table of the detector as the optimization plan of the detector.

[0052] The data monitoring module is used to monitor all cable joints in the enclosed space after the detector optimization is completed, and obtain the monitoring data of each cable joint.

[0053] In a specific embodiment, the specific process of the data monitoring module is as follows: S12-1. Obtain the overall image of the enclosed space from the data center, use image recognition technology to obtain the joint positions of each cable in the enclosed space, construct a monitoring area for each cable joint with the joint position of each cable as the center and a preset distance as the radius, set several monitoring points in the monitoring area of each cable joint, use the overall image of the enclosed space to evaluate the priority value of each monitoring point, select the monitoring point with the maximum priority value as the installation position of each cable joint, and install a number of optimized detectors at the installation positions of each cable joint.

[0054] It should be noted that after the cables are installed in the enclosed space, the overall image of the enclosed space is collected by a camera and saved to the data center. When setting several monitoring points in the monitoring area of each cable joint, if there are obstacles or other equipment in the monitoring area, the range of the obstacles or other equipment is removed from the monitoring area before laying.

[0055] Preferably, use image processing technology to obtain the distance from each monitoring point to each cable joint in the monitoring area of each cable joint as the monitoring distance of each monitoring point in the monitoring area of each cable joint; use the direction towards each cable joint as the horizontal axis and each cable joint as the origin to construct a plane rectangular coordinate system, thereby obtaining the angle between the straight line connecting each monitoring point and each cable joint in the monitoring area of each cable joint and the horizontal axis as the monitoring angle of each monitoring point in the monitoring area of each cable joint; at the same time, obtain the distance from each monitoring point to each obstacle in the monitoring area of each cable joint from the overall image of the enclosed space and perform mean calculation to obtain the obstacle spacing of each monitoring point in the monitoring area of each cable joint. Normalize the monitoring distance, monitoring angle and obstacle spacing of each monitoring point in the monitoring area of each cable joint, and then denote them as a1 qw 、a2 qw and a3 qw , where q represents the number of each cable joint, w represents the number of each monitoring point, and both q and w are positive integers. Use the calculation formula: Obtain the priority value of the wth monitoring point in the monitoring area of the qth cable joint.

[0056] In the embodiment of the present invention, by selecting monitoring points with short monitoring distance, small angle and far from obstacles, the signal reception path of the detector is avoided from being blocked, the heat generated by the cable joint is ensured to be smoothly transferred to the detector, and the authenticity of the monitoring data is guaranteed.

[0057] S12-2. Use the detector to collect the temperature of each cable joint multiple times to obtain the temperature of each cable joint in each collection, and at the same time obtain the electrical data of each cable joint in each collection from the electrical control center. Use the temperature and electrical data of each cable joint in each collection as the monitoring data of each cable joint.

[0058] Among them, the electrical data includes voltage, current, etc. Voltage and current sensors and other devices are provided on the cable joints, and these devices are connected to the electrical control center through the Internet of Things. The electrical data collected by these devices is transmitted to the electrical control center.

[0059] The fire alarm unit is used to judge whether there is a fire risk at the cable joint according to the monitoring data of each cable joint. If there is a risk, an alarm is issued.

[0060] The fire alarm unit includes a monitoring data analysis module and an initial fire alarm module.

[0061] The monitoring data analysis module is used to obtain the alarm records of each cable joint from the data center, and then use the monitoring data of each cable joint to analyze whether each cable joint has a risk of fire. The specific process is as follows: obtain the temperature and electrical data corresponding to each alarm of each cable joint from the alarm records of each cable joint, select the minimum temperature and minimum electrical data as the temperature threshold and electrical data threshold of each cable joint. When the temperature or electrical data collected at a certain cable joint is greater than or equal to the temperature threshold or electrical data threshold of the cable joint, it indicates that the cable joint has a risk of fire. If the temperature and electrical data collected at a certain cable joint are less than the temperature threshold and electrical data threshold of the cable joint in each collection, it indicates that the cable joint does not have a risk of fire. Based on this, analyze whether each cable joint has a risk of fire.

[0062] The initial fire alarm module is used to start the alarm for initial fire alarm when there is at least one cable joint with a risk of fire, and record the cable joints with a risk of fire as each marked joint, and obtain the electrical structure diagram of the enclosed space from the data center to perform protection control on the electrical equipment in the enclosed space.

[0063] Among them, the electrical structure diagram is the connection structure diagram of the cables and electrical equipment in the enclosed space.

[0064] In a specific embodiment, the process of performing protection control on the electrical equipment in the enclosed space is as follows: S22-1. Obtain each electrical equipment directly connected to each marked joint from the electrical structure diagram as each associated equipment, and at the same time cluster the positions of each marked joint and the positions of each electrical equipment to obtain each risk area, obtain the temperature and electrical data of each electrical equipment in each risk area, and set the risk level of each risk area.

[0065] In the above, according to the analysis method of analyzing whether each cable joint has a risk of fire, analyze whether each electrical equipment in each risk area has a risk of fire, and record each electrical equipment with a risk of fire as each risk equipment. Count the number of risk equipment and the number of marked joints in each risk area, take the sum of the number of risk equipment and the number of marked joints in each risk area as the number of risk points in each risk area, divide the number of risk points in each risk area by the area of each risk area to obtain the risk point density of each risk area, and compare the number of risk points and the risk point density in each risk area with the risk point number interval and the risk point density interval of each risk level respectively. If the number of risk points and the risk point density in a certain risk area are respectively within the risk point number interval and the risk point density interval of a certain risk level, then take this risk level as the risk level of this risk area, and thus obtain the risk levels of each risk area.

[0066] It should be noted that the area of each risk area can be obtained from the overall image of the enclosed space.

[0067] Among them, the setting process of the risk point number interval and the risk point density interval of each risk level is the same as the setting process of the lower limit value of the difference rate corresponding to each accuracy level, and will not be elaborated here.

[0068] S22-2. Obtain the number of associated equipment of each marked joint in each risk area and the risk level of each risk area, and analyze the protection type of the electrical equipment in the enclosed space, where the protection type includes overall protection and local protection.

[0069] In the above, to analyze the protection type of the electrical equipment in the enclosed space, the specific process is as follows: Using the analysis formula: Obtain the protection value of the z-th risk area z represents the number of each risk area, z is a positive integer, S z 、GL z respectively represent the area of the z-th risk area and the total number of associated equipment of each marked joint in the z-th risk area. S and GL respectively represent the area of the enclosed space and the number of electrical equipment in the enclosed space, where GL can be obtained from the data center.

[0070] When the protection value of each risk area is less than or equal to the preset protection value threshold, it indicates that the protection type of the electrical equipment in the enclosed space is local protection. When there is at least one risk area whose protection value is greater than the preset protection value threshold, it indicates that the protection type of the electrical equipment in the enclosed space is overall protection.

[0071] It should be noted that the protection value threshold is a reference value used to evaluate the severity of the danger in the risk area. When it is greater than the protection value threshold, it indicates that the risk area is relatively dangerous, with a larger area of the risk area and more associated electrical equipment, resulting in a greater impact. In this case, the equipment needs to be shut down as a whole to ensure its safety. The specific value can be set by the electrical management personnel according to the monitoring requirements, which can be 20 or 18, and no specific limit is set here.

[0072] S22-3. When the protection type is overall protection, all electrical equipment in the enclosed space shall be shut down. When the protection type is partial protection, all electrical equipment in each risk area shall be shut down, and a fire blocking device shall be set at the edge of each risk area.

[0073] In the above, the fire blocking device is a facility for fire separation such as a fireproof rolling shutter.

[0074] The space optimization unit is used to obtain the historical fire protection alarm records of the cable joints within a preset period, evaluate whether the enclosed space needs to be optimized, and if so, set the optimization plan for the enclosed space.

[0075] In a specific embodiment, the space optimization unit includes an optimization necessity analysis module and a fire protection area setting module.

[0076] The fire protection necessity analysis module is used to obtain the historical fire protection alarm records of the cable joints within a preset period from the data center, obtain the protection type corresponding to each historical alarm from the historical fire protection alarm records, and analyze the fire protection impact level in the enclosed space, where the fire protection impact level includes level 1, level 2, and level 3. When the fire protection impact level is greater than or equal to level 2, it indicates that the enclosed space needs to be optimized. When the fire protection impact level is level 1, it indicates that the enclosed space does not need to be optimized.

[0077] In the above, the process of analyzing the fire protection impact level in the enclosed space is as follows: count the number of times of overall protection and the number of times of partial protection, denoted as ZF and JF respectively, and obtain the time of each overall protection and the time of each historical alarm from the historical fire protection alarm records, obtain the frequency of overall protection and the frequency of alarm, denoted as ff1 and ff2 respectively, and use the analysis formula:

[0078] Obtain the fire protection impact level θ in the enclosed space. In the formula, ff′ and ff″ are the set frequency thresholds of overall protection and the frequency threshold of alarm respectively, and ζ min 、ζ max are the set lower limit threshold of fire risk and the upper limit threshold of fire risk respectively.

[0079] Among them, the setting process of ff′ and ff″ is the same as the setting process of the protection value threshold, and ζ min 、ζ maxThe setting process is the same as that of the protection value threshold, which will not be elaborated here.

[0080] The fire prevention area setting module is used to obtain the protection types corresponding to each historical fire alarm from the historical fire alarm records when the enclosed space needs to be optimized, analyze the fire prevention levels of each cable joint and the fire impact levels of each electrical equipment, and then divide the enclosed space into areas.

[0081] Preferably, the process of dividing the enclosed space into areas is as follows: S32-1. Obtain each risk area corresponding to each historical local protection and the overall protection area corresponding to each historical overall protection, construct a protection heat map of the enclosed space, and at the same time obtain the switch states of each marked joint and each electrical equipment corresponding to each historical alarm, count the number of times each cable joint is recorded as a marked joint and the number of times each electrical equipment is turned off, as the fire prevention times of each cable joint and the protection times of each electrical equipment, and set the protection levels of each cable joint; among them, the fire prevention levels all include level 1, level 2, and level 3.

[0082] In the above, the process of setting the protection level of each cable joint is as follows: obtain the protection times of each associated equipment corresponding to each cable joint, and then accumulate them to obtain the total protection times of the associated equipment of each cable joint, and normalize the fire prevention times and the total protection times of the associated equipment of each cable joint. The processed values are respectively recorded as c1 q and c2 q , the protection level of each cable joint: In the formula, c min , c max are respectively the set lower limit threshold and upper limit threshold of the fire risk, where c min , c max The setting process is the same as that of the protection value threshold, which will not be elaborated here.

[0083] S32-2. Use the protection heat map of the enclosed space and the protection levels of each cable joint to divide the enclosed space into high protection areas, medium protection areas, and low protection areas.

[0084] In the above, locate the positions of each cable joint in the protection heat map of the enclosed space, and mark them with the colors corresponding to each protection level respectively. Use multiple division methods to divide the enclosed space into each area, obtain the color uniformity and the maximum color value of each area in each division method from the protection heat map, select the area with the largest maximum color value as the target high protection area in each division method, and then obtain the number of obstacles, the number of level 3 cable joints, the total number of associated equipment of level 3 cable joints, and the free space size of the target high protection area in each division method from the overall image of the enclosed space, and then normalize them. The processed values are respectively recorded as d1u , d2 u , d3 u and d4 u , where u represents the number of various partitioning methods, u is a positive integer, and using the calculation formula: obtain the priority value β of the target high-protection partition in the u-th partitioning method u ; select the partitioning method with the largest priority value of the target high-protection partition as the partitioning method of the enclosed space, and use the target high-protection partition in this partitioning method as the high-protection partition; use the partition farthest from the high-protection partition as the medium-protection partition, and the remaining partitions as the low-protection partitions. Then, place the cable joints of levels 1, 2, and 3 into the low-protection partition, medium-protection partition, and high-protection partition respectively. At the same time, use fire-blocking devices to separate the high-protection partition.

[0085] Among them, the color value is the RGB value.

[0086] It should be noted that the partitioning methods include formal partitioning and equal-area partitioning, etc. For formal partitioning, for example, when multiple obstacles and electrical equipment are on the same plane, the space is separated by this plane. For equal-area partitioning, for example, the area of the enclosed space is equally divided into three partitions.

[0087] In the embodiment of the present invention, the area with sufficient remaining space is selected as the high-protection partition, which can have enough space to deploy detectors during subsequent monitoring of cable joints, improve the monitoring effect of the detectors, and at the same time select the area with fewer obstacles as the high-protection partition to reduce the influence of obstacles on the monitoring of the detectors and ensure the accuracy of the detectors.

[0088] In the above, the calculation process of the color uniformity of each partition is as follows: divide each partition into several intervals, then obtain the number of pixels in each interval, divide the number of pixels in each interval by the total number of pixels to obtain the pixel probability of each interval, denoted as p h (i), h represents the number of each partition, i represents the number of each interval, both h and i are positive integers, and the color uniformity of each partition Among them, n″′ represents the number of intervals.

[0089] In the embodiment of the present invention, by separating the high-protection area and the medium-protection area, the influence of the cables in the high-protection area on the cable joints and equipment in the medium-protection area can be effectively reduced, and the safety of the medium- and low-protection partitions can be ensured.

[0090] Embodiment 2:

[0091] Refer to Figure 2 As shown, a cable joint fire alarm method based on an enclosed space includes: S1. Cable monitoring: Collect the environmental data of the enclosed space, optimize the detector, and monitor multiple cable joints in the enclosed space to obtain the monitoring data of each cable joint.

[0092] S2. Fire alarm: Based on the monitoring data of each cable joint, determine whether there is a risk of fire in the cable joint. If there is, give an alarm.

[0093] S3. Space optimization: Obtain the historical fire alarm records of the cable joints within a preset period, evaluate whether the enclosed space needs to be optimized. If so, set the optimization plan for the enclosed space.

[0094] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of this technology can make various modifications, supplements, or use similar methods to replace the specific embodiments described. As long as they do not deviate from the concept of the invention or exceed the scope defined by this specification, they should fall within the protection scope of the present invention.

Claims

1. A cable joint fire alarm system based on a closed space, characterized in that Including: A cable monitoring unit, a fire alarm unit, and a space optimization unit; The cable monitoring unit is used to collect environmental data of an enclosed space, optimize detectors, and monitor multiple cable joints in the enclosed space to obtain monitoring data of each cable joint; The fire alarm unit is used to judge whether there is a fire risk at the cable joints according to the monitoring data of each cable joint, and give an alarm if there is; The space optimization unit is used to obtain the historical fire alarm records of the cable joints within a preset period, evaluate whether the enclosed space needs to be optimized, and if so, set an optimization plan for the enclosed space.

2. The cable joint fire alarm system based on a closed space according to claim 1, characterized in that, The cable monitoring unit includes an environmental testing module and a data monitoring module; The environmental testing module is used to collect environmental data of the enclosed space, obtain the environmental type of the enclosed space, and then, based on the environmental type of the enclosed space, conduct environmental testing on the detectors, optimize the detectors, and perform corresponding optimizations; The data monitoring module is used to monitor all cable joints in the enclosed space after the detector optimization is completed to obtain monitoring data of each cable joint.

3. The cable joint fire alarm system based on a closed space according to claim 2, characterized in that, The specific process of the environmental testing module is as follows: S11-1. Use environmental detection equipment to collect environmental data of the enclosed space, compare the environmental data of the enclosed space with the reference environmental data intervals corresponding to each environmental type in the data center, and obtain the environmental type of the enclosed space; S11-2. Set a control group and a test group. Both the control group and the test group are enclosed spaces. The environmental type in the control group is a conventional environment, and the environmental type in the test group is the environmental type of the enclosed space. A heating device and a detector are placed in both the control group and the test group. The heating devices in the control group and the test group are controlled to have the same temperature, and then the detectors in the control group and the test group are used to simultaneously collect the monitored temperatures of the heating devices multiple times. The detectors transmit the monitored temperatures of the heating devices in the control group and the test group to a receiving terminal; S11-3. The receiving terminal records the receiving time points of the monitored temperatures of the heating devices in the control group and the test group, and analyzes the accuracy level, stability level, and response ability level of the detectors in the test group by using the monitored temperatures of the heating devices in the control group and the test group and the receiving time points; S11-4. Obtain the accuracy level, stability level, response ability level, optimization plan, and optimization parameters of each historical detector used in each enclosed space in the past from the data center, and set an optimization improvement table for the detectors; S11-5. Based on the accuracy level, stability level, and response ability level of the detectors in the test group, obtain the optimization plan for the detectors from the optimization improvement table of the detectors, and perform corresponding optimizations.

4. The fire prevention and alarm system for cable joints based on a closed space according to claim 2, characterized in that, The specific process of the data monitoring module is as follows: S12-1. Obtain the overall image of the enclosed space from the data center, use image recognition technology to obtain the joint positions of each cable in the enclosed space, construct the monitoring areas of each cable joint with the joint positions of each cable as the centers and a preset distance as the radius, set several monitoring points in the monitoring areas of each cable joint, use the overall image of the enclosed space to evaluate the priority values of each monitoring point, select the monitoring point with the largest priority value as the installation position of each cable joint, and install the optimized several detectors at the installation positions of each cable joint; S12-2. Use the detector to collect the temperature of each cable joint multiple times to obtain the temperature of each cable joint in each collection, and at the same time obtain the electrical data of each cable joint in each collection from the electrical control center, and use the temperature and electrical data of each cable joint in each collection as the monitoring data of each cable joint.

5. The fire alarm system for cable joints based on a closed space according to claim 1, characterized in that, The fire alarm unit includes a monitoring data analysis module and an initial fire alarm module; The monitoring data analysis module is used to obtain the alarm records of each cable joint from the data center, and then use the monitoring data of each cable joint to analyze whether there is a risk of fire for each cable joint; The initial fire alarm module is used to start the alarm for initial fire alarm when there is at least one cable joint with a risk of fire, record the cable joints with a risk of fire as each marked joint, and obtain the electrical structure diagram of the enclosed space from the data center to perform protection control on the electrical equipment in the enclosed space.

6. The fire prevention and alarm system for cable joints based on a closed space according to claim 5, characterized in that, The process of performing protection control on the electrical equipment in the enclosed space is as follows: S22-1. Obtain each electrical equipment directly connected to each marked joint from the electrical structure diagram as each associated equipment, and at the same time cluster the positions of each marked joint and the positions of each electrical equipment to obtain each risk area, obtain the temperature and electrical data of each electrical equipment in each risk area, and set the risk level of each risk area; S22-2. Obtain the number of associated equipment of each marked joint in each risk area and the risk level of each risk area, and analyze the protection type of the electrical equipment in the enclosed space, where the protection type includes overall protection and local protection; S22-3. When the protection type is overall protection, turn off all the electrical equipment in the enclosed space. When the protection type is local protection, turn off all the electrical equipment in each risk area and set a fire blocking device at the edge of each risk area.

7. The fire prevention and alarm system for cable joints based on a closed space according to claim 6, characterized in that, The space optimization unit includes an optimization necessity analysis module and a fire prevention area setting module; The fire prevention necessity analysis module is used to obtain the historical fire alarm records of the cable joints within a preset period from the data center, obtain the protection type corresponding to each historical alarm from the historical fire alarm records, and analyze the fire prevention influence level in the enclosed space, where the fire prevention influence level includes level 1, level 2, and level 3; when the fire prevention influence level is greater than or equal to level 2, it indicates that the enclosed space needs to be optimized. When the fire prevention influence level is level 1, it indicates that the enclosed space does not need to be optimized; The fire prevention area setting module is used to obtain the protection types corresponding to each historical fire alarm from the historical fire alarm records when the enclosed space needs to be optimized, analyze the fire prevention levels of each cable joint and the fire impact levels of each electrical equipment, and then divide the enclosed space into areas.

8. The fire alarm system for cable joints based on a closed space according to claim 7, characterized in that, The process of analyzing the fire prevention impact level in the enclosed space is as follows: count the number of times of overall protection and the number of times of partial protection, denoted as ZF and JF respectively, and obtain the time of each overall protection and the time of each historical alarm from the historical fire alarm records, and obtain the frequency of overall protection and the frequency of alarm, denoted as ff1 and ff2 respectively. Use the analysis formula: to obtain the fire prevention impact level θ in the enclosed space. In the formula, ff′ and ff″ are the set frequency thresholds of overall protection and the frequency threshold of alarm respectively, and ζ min and ζ max are the set lower limit threshold of fire risk and the upper limit threshold of fire risk respectively.

9. The fire alarm system for cable joints based on a closed space according to claim 8, characterized in that, The process of dividing the enclosed space into areas is as follows: S32-1. Obtain the risk areas corresponding to each historical local protection and the overall protection area corresponding to each historical overall protection, construct a protection heat map of the enclosed space, and at the same time obtain the switch states of each marked joint and each electrical equipment corresponding to each historical alarm. Count the number of times each cable joint is recorded as a marked joint and the number of times each electrical equipment is turned off, which are used as the fire prevention times of each cable joint and the protection times of each electrical equipment, and set the protection levels of each cable joint; among them, the fire prevention levels all include level 1, level 2, and level 3; S32-2. Use the protection heat map of the enclosed space and the protection levels of each cable joint to divide the enclosed space into high protection areas, medium protection areas, and low protection areas.

10. A cable joint fire alarm method implemented by the cable joint fire alarm system based on a closed space according to any one of claims 1-9, characterized in that, It includes: S1. Cable monitoring: Collect the environmental data of the enclosed space, optimize the detectors, and monitor multiple cable joints in the enclosed space to obtain the monitoring data of each cable joint; S2. Fire alarm: According to the monitoring data of each cable joint, judge whether there is a risk of fire in the cable joint. If so, give an alarm; S3. Space optimization: Obtain the historical fire alarm records of the cable joints within a preset period, evaluate whether the enclosed space needs to be optimized. If so, set the optimization plan for the enclosed space.

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